The M.Sc. course in Mathematics aims at developing mathematical ability in students with acute and abstract reasoning. The course will enable students to cultivate a mathematician’s habit of thought and reasoning and will enlighten students with mathematical ideas relevant for oneself and for the course itself.
COURSE DESIGN: Masters in Mathematics is a two year programme spreading over four semesters. In the first two semesters focus is on the basic courses in mathematics such as Algebra, Topology, Analysis and Graph Theory along with the basic applied course ordinary and partial differential equations. In the third and fourth semester focus is on the special courses, elective courses and skill-based courses including Measure Theory and Lebesgue Integration, Functional Analysis, Computational Fluid Mechanics, Advanced Graph Theory, Numerical Analysis and courses on Data Science. Important feature of the curriculum is that students can specialize in any one of areas (i) Fluid Mechanics, (ii) Graph Theory and (iii) Data Science, with a project on these topics in the fourth semester, which will help the students to pursue research in these topics or grab the opportunities in the industry. To gain proficiency in software skills, four Mathematics Lab papers are introduced one in each semester. viz. Introduction to FOSS tools, Python Programming for Mathematics (for 2020-2022 batch) , Numerical Methods using Python and Numerical Methods for Boundary Value Problem using Python (for 2019-2021 batch) respectively. Special importance is given to the skill enhancement courses Research Methodology, Machine Learning (for 2020-2022 batch), and Introduction to Free and Open-Source Software (FOSS) Tools: (GNU Octave) (for 2019-2021 batch).
On successful completion of the MSc programme students will be able to
PO1 Engage in continuous reflective learning in the context of technology and scientific advancement.
PO2 Identify the need and scope of the Interdisciplinary research.
PO3 Enhance research culture and uphold the scientific integrity and objectivity
PO4 Understand the professional, ethical and social responsibilities
PO5 Understand the importance and the judicious use of technology for the sustainability of the environment
PO6 Enhance disciplinary competency, employability and leadership skills
METHODOLOGY: We offer this course through Lectures, Seminars, Workshops, Group Discussion and talks by experts.
ADMISSION PROCEDURE: Candidates who have secured at least 50% of marks in Mathematics in their bachelor degree examination are eligible to apply. The candidates will then appear for the subject interview.
On successful completion of the MSc Programme, students will be able to:
Engage in continuous reflective learning to the context of technology and scientific advancement
Identify the need and scope of the Interdisciplinary research
Enhance research culture and uphold the scientific integrity and objectivity
Understand the professional, ethical and social responsibilities
Understand the importance and the judicious use of technology for the sustainability of the enhancement
Enhance disciplinary competency, professional proficiency and leadership skills
Programme Specific Outcomes:
On successful completion of the MSc Programme in Mathematics, students will be able to:
Attain mastery over pure and applied branches of Mathematics and its applications in multidisciplinary fields
Demonstrate problem solving, analytical and logical skills to provide solutions for the scientific requirements
Develop critical thinking with scientific temper.
Communicate the subject effectively and express proficiency in oral and written communications to appreciate innovations in research
Understand the importance and judicious use of mathematical software's for the sustainable growth of mankind
Enhance the research culture in three areas viz. Graph theory, Fluid Mechanics and Data Science and uphold the research integrity and objectivity
- BSc CME-Bachelor of Science (BSc) in Computer Sc, Maths, Electronics
- BSc CMS-Bachelor of Science (BSc) in Computer Sc, Maths, Statistics
- BSc EMS-Bachelor of Science (BSc) Economics, Mathematics, Statistics
- BSc PCM-Bachelor of Science (BSc) in Physics, Chemistry, Maths
- BSc PME-Bachelor of Science (BSc) in Physics, Maths, Electronics